Seventy per cent of the Earth’s surface is sea. Yet, until recently social and cultural geographers have failed to pay much attention to this aspect of the world in which we live, with the most notable contributions deriving ...

This paper reports the outcomes from an International Workshop on 'Animal Production in a Changing World' held in Clermont-Ferrand (INRA-Theix, France) on 9-10 September 2009 in which 35 participants from 15 different ...

This paper reports the outcomes from an International Workshop on ¿Animal Production in a Changing World¿ held in Clermont-Ferrand (INRA-Theix, France) on 9¿10 September 2009 in which 35 participants from 15 different ...

Quality must now be considered as a convergence between consumers' wishes and needs and the intrinsic and extrinsic quality attributes of food products. The increasing number of quality attributes which must be considered, ...

Quality must now be considered as a convergence between consumers' wishes and needs and the intrinsic and extrinsic quality attributes of food products. The increasing number of quality attributes which must be considered, ...

There is a growing interest in applying computational intelligence in the predictive toxicology (PT) domain, where a large number of predictive models are becoming available. Evaluation of such models is therefore considered ...

There are a variety of measures to describe classification performance with respect to different criteria and they are often represented by numerical values. Psychologists have commented that human beings can only reasonably ...

Automated modeling refers to automatic (re-)formulation of alternative system models that embody the simpliﬁcation, abstraction, and approximation of knowledge and data for a given task. This technique is highly desirable ...

This paper presents a fuzzy knowledge-based system for turbomachinery diagnosis. Given symptoms associated with a vibration problem, the system can identify and rank possible causes by performing incremental forward chaining. ...

Feature Selection (FS) is a dimensionality reduction technique that aims to select a subset of the original features of a dataset which offer the most useful information. The benefits of feature selection include improved ...

Feature Selection (FS) is a dimensionality reduction technique that aims to select a subset of the original features of a dataset which offer the most useful information. The benefits of feature selection include improved ...

Fuzzy interpolation does not only help to reduce the complexity of fuzzy models, but also makes inference in sparse rule-based systems possible. It has been successfully applied to systems control, but limited work exists ...

Interpolative reasoning does not only help reduce the complexity of fuzzy models but also makes inference in sparse rule-based systems possible. This paper presents an interpolative reasoning method by means of scale and ...

Given a set of collected evidence and a knowledge base, Fuzzy Compositional Modelling (FCM) begins by retrieving model fragments which are the most likely to be relevant to the available data. Since FCM often involves ...

Given a set of collected evidence and a knowledge base, Fuzzy Compositional Modelling (FCM) begins by retrieving model fragments which are the most likely to be relevant to the available data. Since FCM often involves ...